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DBMS > HyperSQL vs. InterSystems IRIS vs. VoltDB

System Properties Comparison HyperSQL vs. InterSystems IRIS vs. VoltDB

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Editorial information provided by DB-Engines
NameHyperSQL infoalso known as HSQLDB  Xexclude from comparisonInterSystems IRIS  Xexclude from comparisonVoltDB  Xexclude from comparison
DescriptionMultithreaded, transactional RDBMS written in Java infoalso known as HSQLDBA containerised multi-model DBMS, interoperability and analytics data platform with wide capabilities for vertical and horizontal scalabilityDistributed In-Memory NewSQL RDBMS infoUsed for OLTP applications with a high frequency of relatively simple transactions, that can hold all their data in memory
Primary database modelRelational DBMSDocument store
Key-value store
Object oriented DBMS
Relational DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.35
Rank#76  Overall
#41  Relational DBMS
Score2.25
Rank#119  Overall
#22  Document stores
#23  Key-value stores
#2  Object oriented DBMS
#59  Relational DBMS
Score1.60
Rank#142  Overall
#69  Relational DBMS
Websitehsqldb.orgwww.intersystems.com/­products/­intersystems-iriswww.voltdb.com
Technical documentationhsqldb.org/­web/­hsqlDocsFrame.htmldocs.intersystems.com/­irislatest/­csp/­docbook/­DocBook.UI.Page.clsdocs.voltdb.com
DeveloperInterSystemsVoltDB Inc.
Initial release200120182010
Current release2.6.1, October 20212021.1, June 202111.3, April 2022
License infoCommercial or Open SourceOpen Source infobased on BSD licensecommercialOpen Source infoAGPL for Community Edition, commercial license for Enterprise, AWS, and Pro Editions
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava, C++
Server operating systemsAll OS with a Java VM infoEmbedded (into Java applications) and Client-Server operating modesAIX
Linux
macOS
Windows
Linux
OS X infofor development
Data schemeyesdepending on used data modelyes
Typing infopredefined data types such as float or dateyesyesyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.noyes
Secondary indexesyesyesyes
SQL infoSupport of SQLyesyesyes infoonly a subset of SQL 99
APIs and other access methodsHTTP API infoJDBC via HTTP
JDBC
ODBC
JDBC
ODBC
RESTful HTTP API
Java API
JDBC
RESTful HTTP/JSON API
Supported programming languagesAll languages supporting JDBC/ODBC
Java
.Net
C++
Java
JavaScript (Node.js)
Python
C#
C++
Erlang infonot officially supported
Go
Java
JavaScript infoNode.js
PHP
Python
Server-side scripts infoStored proceduresJava, SQLyesJava
Triggersyesyesno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replicationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesno infoFOREIGN KEY constraints are not supported
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID infoTransactions are executed single-threaded within stored procedures
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoData access is serialized by the server
Durability infoSupport for making data persistentyesyesyes infoSnapshots and command logging
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardyesUsers and roles with access to stored procedures

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More resources
HyperSQL infoalso known as HSQLDBInterSystems IRISVoltDB
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In-Memory Database Market Estimated to Reach $9.34 Billion by 2027
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provided by Google News

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